Now a days the price of fossil fuel increase day by day, it is main source of energy. Here alternative fuel play very important role for CI & SI engine. It reduce the dependency of fossil fuel as a primary fuel. May research has been done focusing on using alternative fuel. In this study, the effect of methanolgasoline fuel blend (M10, M15 and M20) on the fuel consumption and exhaust emission of a spark ignition engine (SI) were investigated, experiments have been done to measure the performance and emissions of a 4-stroke S.I. Engine, one by using the commercial imported petrol, another by using the petrol-methanol blends. The engine is run at different loads and methanol blending percentages. It is found that increasing the blending percentage reduces the emitted concentration of carbon oxides and HC . However it is found that break power and break thermal efficiency are increased with increasing methanol blending percentage due to higher cylinder temperatures. The results showed that use of 15% volume of methanol blending with the petrol appears to be a good option for replacing any oxygenate additives in the gasoline, where the CO, CO₂, and HC are mini mum and the fuel consumption of the blend is lower than of the commercial gasoline

This investigate focuses on gauging cramming detection algorithms to instrument them in an Intellectual Transportation System to spot cramming in real time. We have appraised algebraicbased systems as well pattern recognition-based systems to detect non-recurrent cramming on I-74, Davenport, Iowa, USA. Inter-Quartile Distance based algorithms & Managed Learning based Decision Tree & Arbitrary Forest Classifiers are compared & appraised in this study.

Prediction methods are important for many applications. In particular, an exact estimate for the total number of cases for plagues such as the Covid-19 contagion could help medical awareness by providing in time a adequate supply of testing kits, hospital beds & medical people. This thesis experimentally equivalences the accuracy of ten estimate methods for the swelling number of Covid-19 plague cases. These ten methods embrace 2 types of neural networks & extrapolation methods based on best fit rectilinear, best fit quadratic, best fit cubic & Lagrange interpolation [1], as well as an extrapolation method from Revest [14]. We also reflect the Kriging [8] & converse distance weighting [18] latitudinal outburst methods. We also develop a novel spatiotemporal prediction method by combination the Best fit linear and [18]. The researches drawing that amid these ten supposition methods, the spaciotemporal method has the slenderest root mean square fault & mean utter fault on Covid-19 upward data for areas in New York State between June & July, 2020.

The cylinder of an automobile's internal combustion engine, for example, is one of the key components that endures extreme heat and cold. Fins or other protruding surfaces are seen on the inside of several cylinders of modern engines. Fins of varying materials and shapes may improve heat transmission from engine cylinders. To improve the rate of heat transmission, we may experiment with various fin materials as well as fin designs. In this paper, a literature survey has been conducted on the efficiency of the engine cooling system designed with fins on the cylinder and the different parameters affecting its efficiency.